COTI Agents Unveils First AI Project in The COTI Ecosystem

Twitter icon  •  Published 15 hours ago on January 8, 2025  •  Hassan Maishera

COTI Agents has unveiled its AI platform, setting the record as the first AI project in the COTI ecosystem.

COTI Agents Unveils First AI Project in The COTI Ecosystem

COTI Agents has launched its advanced AI Agent platform, becoming the first AI project in the expanding COTI Network ecosystem. In a press release shared with Cryptowisser, the team said COTI Agents empowers users to launch, train, and trade AI agents with just a few clicks. 

COTI Agents are designed to prioritize privacy. By leveraging the COTI Pump Agent tool, users can leverage smart contract technology, guaranteeing ease of use and a secure experience. The software utilizes Natural Language Processing (NLP), a major component of voice and chat-based AI algorithms. This ensures that agents can provide an intuitive user experience with even basic training.

COTI Network was officially launched on December 5, 2024, and the platform has quickly built up its community by hitting several key milestones in its first month.  It launched a Testnet Campaign on Galxe on 14 December, reaching over 10,000 followers on X just two days later.  

As of December 31, COTI Agents achieved strong community growth, with 31k X followers, 16k members on Telegram, and over 21k Testnet users exploring and using the platform.  The attention caused by the rapid growth has benefitted initial financial growth, with fundraising selling out on Poolz, DEXPad, and DegenPad.  

Furthermore, COTI Agents has attracted the attention of strategic partners in the Web3 space.  The platform was the first AI Grantee of MomentumX Accelerator, the Poolz and COTI Foundation program that works to boost the development of startups exploring Web3 privacy.  It has also received strategic investment from MSV.GG, the official guild of Morning Star Ventures.

COTI Agents has its token designed to boost the platform’s growth via token sales following its TGE and listings.  The token, $COAI, was listed on Aerodrome Finance and within 24 hours had reached over $900k in trading volume, 815K $COIA burned, and a price of $0.003523.  The token is deflationary, and trading fees are used to buy back and burn COAI to reduce supply, swap/refill WETH/COAI to increase liquidity, and fund a special lottery pool, which can draw a winner every 30 minutes if it has hit a $150 cap.

While commenting on this launch, Gabriel, Founder of COTI Agents, said, 

“The launch of COTI Agents on the COTI Network has proven successful with its initial activity, positive reaction from the community, and proven scalability as smart contracts are able to handle many of the critical functions.  We are proud to be the first AI platform on the COTI Network, and have big plans to show exactly how AI chat bots can change the industry.”

COTI Agents can earn up to 40% of trading fees (1%) from their AI Agent’s trading.  Advanced products such as Generative AI Agents can better understand and adapt to their users, helping them to be significantly more effective as the AI adapts to a specific user’s need.  

Another feature of the COTI Agents platform is the COAI Lottery Mechanism. This feature rewards $COAI holders by holding a “Lucky Draw” every 30 minutes if enough money is allocated as trading takes place.  

COTI AI Agents is the first AI project on the COTI network.  It was designed with a focus on privacy and ease of use and allows users to launch, train, and trade AI agents with just one click. The platform enables its users to co-own agents, earning revenue share while enjoying personalized tools, fun interactions, and rewards.

 

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Author

Hassan Maishera

Hassan is a Nigeria-based financial content creator that has invested in many different blockchain projects, including Bitcoin, Ether, Stellar Lumens, Cardano, VeChain and Solana. He currently works as a financial markets and cryptocurrency writer and has contributed to a large number of the leading FX, stock and cryptocurrency blogs in the world.